Data Profiling and Data Cleaning by mentioning all the relevant data quality dimension
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Updated
May 6, 2019
Data Profiling and Data Cleaning by mentioning all the relevant data quality dimension
A collection of exploratory data transformations written in Trifacta's ground-breaking cloud Wrangler.
Building an automated pipeline in Google Cloud Platform to decompress, prepare, and perform visual analytics on responses collected with Google Form surveys.
Assets for the demonstration of the blog post "How to Automate a Cloud Dataprep Pipeline When a File Arrives"
Examples of shell scripts using Trifacta REST API https://api.trifacta.com/
Trifacta Flows Examples and Templates. Flows zip files, recipes and datasets.
Google Cloud Functions examples for Google Cloud Dataprep
Inconsistent company names demo
Workflow creation and visualization by using Trifacta
This data analysis is aimed to provide recommendation to football managers about the new players they can buy during transfer market.
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